2.4k citations · 5.2k across the 108 of their papers we have counts for
114 papers
Sparsity-Aware Intelligent Massive Random Access Control in Open RAN: A Reinforcement Learning Based Approach
Xiao Tang, Sicong Liu, Xiaojiang Du +1
Massive random access of devices in the emerging Open Radio Access Network (O-RAN) brings great challenge to the access control and management. Exploiting the bursting nature of th…
Metaverse for Wireless Systems: Architecture, Advances, Standardization, and Open Challenges
Latif U. Khan, Mohsen Guizani, Dusit Niyato +2
The growing landscape of emerging wireless applications is a key driver toward the development of novel wireless system designs. Such a design can be based on the metaverse that us…
RL-DistPrivacy: Privacy-Aware Distributed Deep Inference for low latency IoT systems
Emna Baccour, Aiman Erbad, Amr Mohamed +2
Although Deep Neural Networks (DNN) have become the backbone technology of several ubiquitous applications, their deployment in resource-constrained machines, e.g., Internet of Thi…
SD-AETO: Service Deployment Enabled Adaptive Edge Task Offloading in MEC
Liangjun Song, Gang Sun, Hongfang Yu +1
In recent years, edge computing, as an important pillar for future networks, has been developed rapidly. Task offloading is a key part of edge computing that can provide computing…
A Survey on Applications of Cache-Aided NOMA
Dipen Bepari, Soumen Mondal, Aniruddha Chandra +4
Contrary to orthogonal multiple-access (OMA), non-orthogonal multiple-access (NOMA) schemes can serve a pool of users without exploiting the scarce frequency or time domain resourc…
Artificial Intelligence for 6G Networks: Technology Advancement and Standardization
Muhammad K. Shehzad, Luca Rose, M. Majid Butt +3
With the deployment of 5G networks, standards organizations have started working on the design phase for sixth-generation (6G) networks. 6G networks will be immensely complex, requ…
VNF and Container Placement: Recent Advances and Future Trends
Wissal Attaoui, Essaid Sabir, Halima Elbiaze +1
With the growing demand for openness, scalability, and granularity, mobile network function virtualization (NFV) has emerged as a key enabler for most mobile network operators. NFV…
Multi-Agent Reinforcement Learning for Network Selection and Resource Allocation in Heterogeneous multi-RAT Networks
Mhd Saria Allahham, Alaa Awad Abdellatif, Naram Mhaisen +3
The rapid production of mobile devices along with the wireless applications boom is continuing to evolve daily. This motivates the exploitation of wireless spectrum using multiple…
Digital Twin of Wireless Systems: Overview, Taxonomy, Challenges, and Opportunities
Latif U. Khan, Zhu Han, Walid Saad +3
Future wireless services must be focused on improving the quality of life by enabling various applications, such as extended reality, brain-computer interaction, and healthcare. Th…
IoV Scenario: Implementation of a Bandwidth Aware Algorithm in Wireless Network Communication Mode
Peiying Zhang, Chao Wang, Gagangeet Singh Aujla +2
The wireless network communication mode represented by the Internet of vehicles (IoV) has been widely used. However, due to the limitations of traditional network architecture, res…
A Comprehensive Survey on the Applications of Blockchain for Securing Vehicular Networks
Tejasvi Alladi, Vinay Chamola, Nishad Sahu +3
Vehicular networks promise features such as traffic management, route scheduling, data exchange, entertainment, and much more. With any large-scale technological integration comes…
Energy-Efficient Multi-Orchestrator Mobile Edge Learning
Mhd Saria Allahham, Sameh Sorour, Amr Mohamed +2
Mobile Edge Learning (MEL) is a collaborative learning paradigm that features distributed training of Machine Learning (ML) models over edge devices (e.g., IoT devices). In MEL, po…
Motivating Learners in Multi-Orchestrator Mobile Edge Learning: A Stackelberg Game Approach
Mhd Saria Allahham, Sameh Sorour, Amr Mohamed +2
Mobile Edge Learning (MEL) is a learning paradigm that enables distributed training of Machine Learning models over heterogeneous edge devices (e.g., IoT devices). Multi-orchestrat…
Internet of Behavior (IoB) and Explainable AI Systems for Influencing IoT Behavior
Haya Elayan, Moayad Aloqaily, Fakhri Karray +1
Pandemics and natural disasters over the years have changed the behavior of people, which has had a tremendous impact on all life aspects. With the technologies available in each e…
Industrial Digital Twins at the Nexus of NextG Wireless Networks and Computational Intelligence: A Survey
Shah Zeb, Aamir Mahmood, Syed Ali Hassan +3
By amalgamating recent communication and control technologies, computing and data analytics techniques, and modular manufacturing, Industry~4.0 promotes integrating cyber-physical…
Reinforcement Learning for Intelligent Healthcare Systems: A Comprehensive Survey
Alaa Awad Abdellatif, Naram Mhaisen, Zina Chkirbene +3
The rapid increase in the percentage of chronic disease patients along with the recent pandemic pose immediate threats on healthcare expenditure and elevate causes of death. This c…
Communication-Efficient Hierarchical Federated Learning for IoT Heterogeneous Systems with Imbalanced Data
Alaa Awad Abdellatif, Naram Mhaisen, Amr Mohamed +4
Federated learning (FL) is a distributed learning methodology that allows multiple nodes to cooperatively train a deep learning model, without the need to share their local data. I…
An Intelligent Resource Reservation for Crowdsourced Live Video Streaming Applications in Geo-Distributed Cloud Environment
Emna Baccour, Fatima Haouari, Aiman Erbad +4
Crowdsourced live video streaming (livecast) services such as Facebook Live, YouNow, Douyu and Twitch are gaining more momentum recently. Allocating the limited resources in a cost…
Distributed CNN Inference on Resource-Constrained UAVs for Surveillance Systems: Design and Optimization
Mohammed Jouhari, Abdulla Al-Ali, Emna Baccour +4
Unmanned Aerial Vehicles (UAVs) have attracted great interest in the last few years owing to their ability to cover large areas and access difficult and hazardous target zones, whi…
Fast, Reliable, and Secure Drone Communication: A Comprehensive Survey
Vikas Hassija, Vinay Chamola, Adhar Agrawal +5
Drone security is currently a major topic of discussion among researchers and industrialists. Although there are multiple applications of drones, if the security challenges are not…
The Duo of Artificial Intelligence and Big Data for Industry 4.0: Review of Applications, Techniques, Challenges, and Future Research Directions
Senthil Kumar Jagatheesaperumal, Mohamed Rahouti, Kashif Ahmad +2
The increasing need for economic, safe, and sustainable smart manufacturing combined with novel technological enablers, has paved the way for Artificial Intelligence (AI) and Big D…
Green IoT using UAVs in B5G Networks: A Review of Applications and Strategies
S. H. Alsamhi, Fatemeh Afghah, Radhya Sahal +4
Unmanned Aerial Vehicles (UAVs) present a promising advanced technology that can enhance people life quality and smartness of cities dramatically and increase overall economic effi…
Edge Intelligence for Empowering IoT-based Healthcare Systems
Vahideh Hayyolalam, Moayad Aloqaily, Oznur Ozkasap +1
The demand for real-time, affordable, and efficient smart healthcare services is increasing exponentially due to the technological revolution and burst of population. To meet the i…
Blockchain for Decentralized Multi-Drone to Combat COVID-19
S. H. Alsamhi, B. Lee, M. Guizani +3
Currently, drones represent a promising technology for combating Coronavirus disease 2019 (COVID-19) due to the transport of goods, medical supplies to a given target location in t…